Isaac Oluwaseun Afara1, Indira Prasadam2, Hayley Moody1, Ross Crawford3, Yin Xiao1, Adekunle Oloyede4. 1. School of Chemistry, Physics, and Mechanical Engineering, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Queensland, Australia; Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia. 2. Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia. 3. Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia; Prince Charles Hospital, Brisbane, Queensland, Australia. 4. School of Chemistry, Physics, and Mechanical Engineering, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Queensland, Australia; Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia. Electronic address: k.oloyede@qut.edu.au.
Abstract
PURPOSE: The purpose of this study was to demonstrate the potential of near infrared (NIR) spectroscopy for characterizing the health and degenerative state of articular cartilage based on the components of the Mankin score. METHODS: Three models of osteoarthritic degeneration induced in laboratory rats by anterior cruciate ligament (ACL) transection, meniscectomy (MSX), and intra-articular injection of monoiodoacetate (1 mg) (MIA) were used in this study. Degeneration was induced in the right knee joint; each model group consisted of 12 rats (N = 36). After 8 weeks, the animals were euthanized and knee joints were collected. A custom-made diffuse reflectance NIR probe of 5-mm diameter was placed on the tibial and femoral surfaces, and spectral data were acquired from each specimen in the wave number range of 4,000 to 12,500 cm(-1). After spectral data acquisition, the specimens were fixed and safranin O staining (SOS) was performed to assess disease severity based on the Mankin scoring system. Using multivariate statistical analysis, with spectral preprocessing and wavelength selection technique, the spectral data were then correlated to the structural integrity (SI), cellularity (CEL), and matrix staining (SOS) components of the Mankin score for all the samples tested. RESULTS: ACL models showed mild cartilage degeneration, MSX models had moderate degeneration, and MIA models showed severe cartilage degenerative changes both morphologically and histologically. Our results reveal significant linear correlations between the NIR absorption spectra and SI (R(2) = 94.78%), CEL (R(2) = 88.03%), and SOS (R(2) = 96.39%) parameters of all samples in the models. In addition, clustering of the samples according to their level of degeneration, with respect to the Mankin components, was also observed. CONCLUSIONS: NIR spectroscopic probing of articular cartilage can potentially provide critical information about the health of articular cartilage matrix in early and advanced stages of osteoarthritis (OA). CLINICAL RELEVANCE: This rapid nondestructive method can facilitate clinical appraisal of articular cartilage integrity during arthroscopic surgery.
PURPOSE: The purpose of this study was to demonstrate the potential of near infrared (NIR) spectroscopy for characterizing the health and degenerative state of articular cartilage based on the components of the Mankin score. METHODS: Three models of osteoarthritic degeneration induced in laboratory rats by anterior cruciate ligament (ACL) transection, meniscectomy (MSX), and intra-articular injection of monoiodoacetate (1 mg) (MIA) were used in this study. Degeneration was induced in the right knee joint; each model group consisted of 12 rats (N = 36). After 8 weeks, the animals were euthanized and knee joints were collected. A custom-made diffuse reflectance NIR probe of 5-mm diameter was placed on the tibial and femoral surfaces, and spectral data were acquired from each specimen in the wave number range of 4,000 to 12,500 cm(-1). After spectral data acquisition, the specimens were fixed and safranin O staining (SOS) was performed to assess disease severity based on the Mankin scoring system. Using multivariate statistical analysis, with spectral preprocessing and wavelength selection technique, the spectral data were then correlated to the structural integrity (SI), cellularity (CEL), and matrix staining (SOS) components of the Mankin score for all the samples tested. RESULTS: ACL models showed mild cartilage degeneration, MSX models had moderate degeneration, and MIA models showed severe cartilage degenerative changes both morphologically and histologically. Our results reveal significant linear correlations between the NIR absorption spectra and SI (R(2) = 94.78%), CEL (R(2) = 88.03%), and SOS (R(2) = 96.39%) parameters of all samples in the models. In addition, clustering of the samples according to their level of degeneration, with respect to the Mankin components, was also observed. CONCLUSIONS: NIR spectroscopic probing of articular cartilage can potentially provide critical information about the health of articular cartilage matrix in early and advanced stages of osteoarthritis (OA). CLINICAL RELEVANCE: This rapid nondestructive method can facilitate clinical appraisal of articular cartilage integrity during arthroscopic surgery.
Authors: Isaac O Afara; Rubina Shaikh; Ervin Nippolainen; William Querido; Jari Torniainen; Jaakko K Sarin; Shital Kandel; Nancy Pleshko; Juha Töyräs Journal: Nat Protoc Date: 2021-01-18 Impact factor: 13.491
Authors: Farzad Yousefi; Minwook Kim; Syeda Yusra Nahri; Robert L Mauck; Nancy Pleshko Journal: Tissue Eng Part A Date: 2017-05-15 Impact factor: 3.845
Authors: Isaac O Afara; Cristina Florea; Ismail A Olumegbon; Chibuzor T Eneh; Markus K H Malo; Rami K Korhonen; Juha Töyräs Journal: Sci Rep Date: 2018-06-27 Impact factor: 4.379
Authors: Jaakko K Sarin; Jari Torniainen; Mithilesh Prakash; Lassi Rieppo; Isaac O Afara; Juha Töyräs Journal: Sci Data Date: 2019-08-30 Impact factor: 6.444